通过量子密钥分发和多重同加密加密,为智能电网提供高效且有弹性的物联网架构

IF 2.2 3区 物理与天体物理 Q1 PHYSICS, MATHEMATICAL
Jiangang Feng, Faeiz M. Alserhani, Asmaa A. Hamad, Hassan Alsberi, Najah Kalifah Almazmomi, Arshad Hashmi
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引用次数: 0

摘要

物联网与智能电网基础设施的集成通过实现实时监控、自动化和高效决策,彻底改变了能源分配。然而,这种增加的互联性使系统面临严重的网络安全威胁,例如未经授权的访问、数据篡改和高级持续攻击。事实证明,传统的密码学方法不足以应对这些不断变化的挑战。为了克服这些限制,本研究为智能电网提出了一种高效且有弹性的物联网架构,其中包括用于超安全密钥交换的量子密钥分发(QKD)和用于多层数据保护的多重同加密加密。该解决方案基于QGAPSO-RoutOpt框架,将生物优化、量子逻辑和软件定义网络(SDN)协同起来,实现动态和自适应的加密路由。引入了一种新的优化器QGAPSO-RoutOpt,以智能地微调加密路径,减少通信延迟,并增强整体网络响应能力。该架构使用SG-IoTSim数据集进行评估,该数据集模拟了具有良性和恶意流量模式的现实智能电网物联网通信。性能指标,如密钥完整性、延迟、数据包传递率、加密-解密开销和抵御攻击的弹性,都进行了严格的分析。结果表明,该模型实现了97.3%的安全密钥分发准确性,45%的延迟减少,以及99.1%的网络攻击鲁棒性,包括欺骗和中间人入侵。此外,该系统在动态电网条件下保持高吞吐量和运行效率。总之,QKD、多重同加密和QGAPSO-RoutOpt优化器的集成为现代智能电网物联网系统提供了安全、可扩展和智能的解决方案,为增强信任和弹性的下一代能源基础设施铺平了道路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An efficient and resilient IoT architecture for smart grids via quantum key distribution and multi-homocryption encryption

The integration of IoT with smart grid infrastructure has revolutionized energy distribution by enabling real-time monitoring, automation, and efficient decision-making. However, this increased interconnectivity exposes the system to severe cybersecurity threats, such as unauthorized access, data tampering, and advanced persistent attacks. Traditional cryptographic approaches are proving inadequate in addressing these evolving challenges. To overcome these limitations, this study presents an efficient and resilient IoT architecture for smart grids, incorporating quantum key distribution (QKD) for ultra-secure key exchange and multi-homocryption encryption for multilayered data protection. The proposed solution is built upon the QGAPSO-RoutOpt framework, which synergizes bio-inspired optimization, quantum logic, and software-defined networking (SDN) to enable dynamic and adaptive encryption routing. A novel optimizer, QGAPSO-RoutOpt, is introduced to intelligently fine-tune encryption pathways, reduce communication latency, and enhance overall network responsiveness. The architecture is evaluated using the SG-IoTSim dataset, which models realistic smart grid IoT communication with both benign and malicious traffic patterns. Performance metrics such as key integrity, latency, packet delivery ratio, encryption–decryption overhead and resilience against attacks were rigorously analyzed. Results indicate that the proposed model achieves 97.3% secure key distribution accuracy, a 45% reduction in latency, and 99.1% robustness against cyberattacks, including spoofing and man-in-the-middle intrusions. Additionally, the system maintains high throughput and operational efficiency under dynamic grid conditions. In conclusion, the integration of QKD, multi-homocryption, and the QGAPSO-RoutOpt optimizer offers a secure, scalable, and intelligent solution for modern smart grid IoT systems, paving the way for next-generation energy infrastructure with enhanced trust and resilience.

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来源期刊
Quantum Information Processing
Quantum Information Processing 物理-物理:数学物理
CiteScore
4.10
自引率
20.00%
发文量
337
审稿时长
4.5 months
期刊介绍: Quantum Information Processing is a high-impact, international journal publishing cutting-edge experimental and theoretical research in all areas of Quantum Information Science. Topics of interest include quantum cryptography and communications, entanglement and discord, quantum algorithms, quantum error correction and fault tolerance, quantum computer science, quantum imaging and sensing, and experimental platforms for quantum information. Quantum Information Processing supports and inspires research by providing a comprehensive peer review process, and broadcasting high quality results in a range of formats. These include original papers, letters, broadly focused perspectives, comprehensive review articles, book reviews, and special topical issues. The journal is particularly interested in papers detailing and demonstrating quantum information protocols for cryptography, communications, computation, and sensing.
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